Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
Dessa specializes in audacious deep learning moonshots at Block. We choose projects that are impactful and transformative not projects that are incremental improvements over the status quo. We have a strong focus on open source and are committed to sharing our work. Our mission is to push the boundaries of whats possible with AI in order to benefit humanity.
We are seeking a Deep Learning Research Engineer Intern who is passionate about expanding the limits of deep learning capabilities. As a Research Engineer Intern at Dessa you will help create novel deep learning systems with the capability to perform tasks that were once considered unattainable. You will be fully remote and report into our Dessa AI Research Lead.
You Will
- Work with Research Scientists and Engineers to help design and develop novel generative AI models and systems
- Contribute to ideas to improve existing deep learning systems
- Develop software to process clean evaluate data to train deep learning systems
- Learn foundational deep learning and catch up to the latest in deep learning research
You Have
- Pursuing degree in Computer Science Electrical Engineering Math Statistics or related technical field and graduating between May 2026 and May 2027.
- A passion for deep learning
- Proficiency with Python
- An understanding of general data manipulation
- Command of probability and statistics
- Experience with rapid prototyping using public open-source libraries and APIs
- A capacity to create order out of chaos and work on problems without clear-cut solutions
- Openness and enthusiasm towards working with a diverse group of people
We are excited about individuals who have:
- A foundational understanding of deep learning
- Hands-on experience in developing and training neural networks using frameworks such as PyTorch JAX or TensorFlow
- Experience training generative models like LLMs or image/audio generation
Technologies We Use and Teach
- Python
- NumPy
- Pytorch and JAX
Were working to build a more inclusive economy where our customers have equal access to opportunity and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team and always assess candidates on an individualized basis.
We believe in being fair and are committed to an inclusive interview experience including providing reasonable accommodations throughout the recruitment process. If you require an accommodation let your recruiter know.
Want to learn more about what were doing to build an inclusive workplace Check out our Inclusion & Diversity page.
Block takes a market-based approach to pay and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. These ranges may be modified in the future.
To find a locations zone designation please refer to thisresource. If a location of interest is not listed please speak with a recruiter for additional information.
Zone A:
$46/hr - $51/hr
Zone B:
$44/hr - $48/hr
Zone C:
$41/hr - $46/hr
Zone D:
$39/hr - $43/hr
Required Experience:
Intern
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. The...
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
Dessa specializes in audacious deep learning moonshots at Block. We choose projects that are impactful and transformative not projects that are incremental improvements over the status quo. We have a strong focus on open source and are committed to sharing our work. Our mission is to push the boundaries of whats possible with AI in order to benefit humanity.
We are seeking a Deep Learning Research Engineer Intern who is passionate about expanding the limits of deep learning capabilities. As a Research Engineer Intern at Dessa you will help create novel deep learning systems with the capability to perform tasks that were once considered unattainable. You will be fully remote and report into our Dessa AI Research Lead.
You Will
- Work with Research Scientists and Engineers to help design and develop novel generative AI models and systems
- Contribute to ideas to improve existing deep learning systems
- Develop software to process clean evaluate data to train deep learning systems
- Learn foundational deep learning and catch up to the latest in deep learning research
You Have
- Pursuing degree in Computer Science Electrical Engineering Math Statistics or related technical field and graduating between May 2026 and May 2027.
- A passion for deep learning
- Proficiency with Python
- An understanding of general data manipulation
- Command of probability and statistics
- Experience with rapid prototyping using public open-source libraries and APIs
- A capacity to create order out of chaos and work on problems without clear-cut solutions
- Openness and enthusiasm towards working with a diverse group of people
We are excited about individuals who have:
- A foundational understanding of deep learning
- Hands-on experience in developing and training neural networks using frameworks such as PyTorch JAX or TensorFlow
- Experience training generative models like LLMs or image/audio generation
Technologies We Use and Teach
- Python
- NumPy
- Pytorch and JAX
Were working to build a more inclusive economy where our customers have equal access to opportunity and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team and always assess candidates on an individualized basis.
We believe in being fair and are committed to an inclusive interview experience including providing reasonable accommodations throughout the recruitment process. If you require an accommodation let your recruiter know.
Want to learn more about what were doing to build an inclusive workplace Check out our Inclusion & Diversity page.
Block takes a market-based approach to pay and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. These ranges may be modified in the future.
To find a locations zone designation please refer to thisresource. If a location of interest is not listed please speak with a recruiter for additional information.
Zone A:
$46/hr - $51/hr
Zone B:
$44/hr - $48/hr
Zone C:
$41/hr - $46/hr
Zone D:
$39/hr - $43/hr
Required Experience:
Intern
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